GenApp, Containers and Abaco: Technical Paper
Authors: 
Emre Brookes, Joe StubbsAuthors Info & Claims
Article No.: 12, Pages 1 - 8
Abstract
GenApp is an NSF-funded framework for rapid generation of applications including feature rich science gateways. GenApp is being successfully used to produce science gateways wrapping scientific programs. Its organization is designed to simplify the process of adding new features and capabilities to generated applications. A limited set of definition files define application generation. To bring a new executable into GenApp, one creates a single "module" definition file. The executable must run on some compute resource accessible by the generated application. Installations of the executable on target resources may be complex. To simplify portability of execution, we introduce automatic containerization of defined modules and integration of container execution. Abaco is an NSF-funded web service and distributed computing platform providing functions-as-a-service (FaaS) to the research computing community. Abaco implements functions using the Actor Model of concurrent computation. We introduce GenApp integration of execution with Abaco as a resource.
References
[1]
Stubbs J., Vaughn M., and Looney J. 2018. Rapid Development of Scalable, Distributed Computation with Abaco. Proceedings of the 10th International Workshop on Science Gateways (2018).
[2]
Emre Brookes. 2014. An open extensible multi-target application generation tool for simple rapid deployment of multi-scale scientific codes. In Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment. ACM, 53. https://genapp.rocks
[3]
Emre Brookes, Nadeem Anjum, Joseph Curtis, Suresh Marru, Raminder Singh, and Marlon Pierce. 2015. The GenApp framework integrated with Airavata for managed compute resource submissions. Concurrency and Computation: Practice and Experience 27, 16 (2015), 4292--4303.
[4]
Alexey Savelyev and Emre Brookes. 2017. GenApp: Extensible tool for rapid generation of web and native GUI applications. Future Generation Computer Systems (2017).
[5]
Stephen Perkins, David Wright, Hailiang Zhang, Emre Brookes, Jianhan Chen, Thomas Irving, Susan Krueger, David Barlow, Karen Edler, David Scott, and N. Terrill. 2016. Atomistic modelling of scattering data in the Collaborative Computational Project for Small Angle Scattering (CCP-SAS). Journal of Applied Crystallography 49, 6 (2016). http://ccpsas.org
[6]
2016. Jetstream, first NSF-supported cloud infrastructure for science & engineering research, to launch September 1. https://itnews.iu.edu/articles/2016/jetstream,-first-nsf-supported-cloud-infrastructure-for-science--engineering-research,-to-launch-september-1.php. (2016). Accessed: 2017-03-01.
[7]
John Towns, Timothy Cockerill, Maytal Dahan, Ian Foster, Kelly Gaither, Andrew Grimshaw, Victor Hazlewood, Scott Lathrop, Dave Lifka, Gregory D. Peterson, Ralph Roskies, J. Ray Scott, and Nancy Wilkins-Diehr. 2014. XSEDE: Accelerating Scientific Discovery. Computing in Science & Engineering 16, 5 (2014), 62--74.
[8]
Suresh Marru, Lahiru Gunathilake, Chathura Herath, Patanachai Tangchaisin, Marlon Pierce, Chris Mattmann, Raminder Singh, Thilina Gunarathne, Eran Chinthaka, Ross Gardler, and A. Slominski. 2011. Apache airavata: a framework for distributed applications and computational workflows. In Proceedings of the 2011 ACM workshop on Gateway computing environments. ACM, 21--28.
[9]
Omar Sefraoui, Mohammed Aissaoui, and Mohsine Eleuldj. 2012. OpenStack: Toward an Open-source Solution for Cloud Computing. International Journal of Computer Applications 55, 3 (October 2012), 38--42. Full text available.
[10]
Emre Brookes and Alexey Savelyev. 2017. GenApp Integrated with OpenStack Supports Elastic Computing on Jetstream. In Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact (PEARC17). ACM, New York, NY, USA, Article 11, 8 pages.
[11]
2017. ECMAScript Language Specification. https://www.ecma-international.org/ecma-262/5.1/. (2017). Accessed: 2017-03-01.
[12]
M. McLennan and R. Kennell. 2010. HUBzero: A Platform for Dissemination and Collaboration in Computational Science and Engineering. Computing in Science Engineering 12, 2 (March 2010), 48--53.
Index Terms
- GenApp, Containers and Abaco: Technical Paper
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Published: 28 July 2019
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PEARC '19
PEARC '19: Practice and Experience in Advanced Research Computing
July 28 - August 1, 2019
IL, Chicago, USA
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Overall Acceptance Rate 133 of 202 submissions, 66%
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